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Bridging Legal Awareness Gaps Through AI-Driven Legal Support

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dc.contributor.author 03-135212-026 Talha Sher, 03-135202-016 Omar Alvi
dc.date.accessioned 2026-04-20T10:40:42Z
dc.date.available 2026-04-20T10:40:42Z
dc.date.issued 2025-06-01
dc.identifier.uri http://hdl.handle.net/123456789/21038
dc.description Muhammad Zunnurain Hussain en_US
dc.description.abstract Access to legal services in Pakistan is often hindered by high costs, lack of awareness, and complex legal procedures, making it difficult for ordinary citizens and small businesses to obtain timely legal assistance. To address these challenges, this project introduces Smart Law, an AI-powered mobile application designed to provide automated legal support based on the Pakistan Penal Code (PPC). Initially focused on family law, the platform uses natural language processing (NLP) and machine learning (ML) to analyze user-submitted queries, ask five counter-questions for better case understanding, and deliver relevant legal advice. The application also recommends five lawyers along with their contact details, allowing users to book physical consultations. As part of its future scope, Smart Law plans to introduce document verification through e-stamp paper validation, using digital signatures, CNICs, and biometric data to detect document fraud. Another key future feature includes integration with Punjab Police databases, enabling users to check their criminal records or FIR status. Furthermore, a web-based version of the platform is also planned to broaden accessibility and improve the overall user experience. By combining AI technology, legal domain knowledge, and secure digital tools, Smart Law aims to make legal assistance affordable, accessible, and transparent, especially for underrepresented communities in Pakistan. en_US
dc.language.iso en_US en_US
dc.relation.ispartofseries ;BULC1428
dc.title Bridging Legal Awareness Gaps Through AI-Driven Legal Support en_US


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